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| Content Provider | ACM Digital Library |
|---|---|
| Author | Withers, Kyle Day, Steven M. Wang, Peng Mu, Dawei Cui, Yifeng Olsen, Kim B. Savran, William H. Roten, Daniel |
| Abstract | The omission of nonlinear effects in large-scale 3D ground motion estimation, which are particularly challenging due to memory and scalability issues, can result in costly misguidance for structural design in earthquake-prone regions. We have implemented nonlinearity using a Drucker-Prager yield condition in AWP-ODC and further optimized the CUDA kernels to more efficiently utilize the GPU's memory bandwidth. The application has resulted in a significant increase in the model region and accuracy for state-of-the-art earthquake simulations in a realistic earth structure, which are now able to resolve the wavefield at frequencies relevant for the most vulnerable buildings (> 1 Hz) while maintaining the scalability and efficiency of the method. We successfully run the code on 4,200 Kepler K20X GPUs on NCSA Blue Waters and OLCF Titan to simulate a M 7.7 earthquake on the southern San Andreas fault with a spatial resolution of 25 m for frequencies up to 4 Hz. |
| Starting Page | 1 |
| Ending Page | 12 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781467388153 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-11-13 |
| Access Restriction | Subscribed |
| Subject Keyword | Scec Earthquake ground motion Fault zone plasticity Gpu Nonlinear soil behavior |
| Content Type | Text |
| Resource Type | Article |
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